19707203

Source:http://linkedlifedata.com/resource/pubmed/id/19707203

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0006826, umls-concept:C0027627, umls-concept:C0449258, umls-concept:C0449774, umls-concept:C0681842, umls-concept:C1882071
pubmed:issue	5
pubmed:dateCreated	2009-8-26
pubmed:abstractText	Metastasis patterns in cancer vary both spatially and temporally. Network modelling may allow the incorporation of the temporal dimension in the analysis of these patterns.
pubmed:grant	http://linkedlifedata.com/resource/pubmed/grant/A1070499-01, http://linkedlifedata.com/resource/pubmed/grant/AG 17548, http://linkedlifedata.com/resource/pubmed/grant/CA 113004, http://linkedlifedata.com/resource/pubmed/grant/HG4233
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/0370635
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Sep
pubmed:issn	1532-1827
pubmed:author	pubmed-author:BarabásiA-LAL, pubmed-author:BlummNN, pubmed-author:ChenL LLL, pubmed-author:ChristakisN ANA, pubmed-author:DeisboeckT STS
pubmed:issnType	Electronic
pubmed:day	1
pubmed:volume	101
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	749-58
pubmed:dateRevised	2010-9-2
pubmed:meshHeading	pubmed-meshheading:19707203-Aged, pubmed-meshheading:19707203-Algorithms, pubmed-meshheading:19707203-Disease Progression, pubmed-meshheading:19707203-Follow-Up Studies, pubmed-meshheading:19707203-Humans, pubmed-meshheading:19707203-Models, Biological, pubmed-meshheading:19707203-Neoplasm Metastasis, pubmed-meshheading:19707203-Neoplasms, pubmed-meshheading:19707203-Predictive Value of Tests, pubmed-meshheading:19707203-Prognosis
pubmed:year	2009
pubmed:articleTitle	Cancer metastasis networks and the prediction of progression patterns.
pubmed:affiliation	Complex Biosystems Modeling Laboratory, Harvard-MIT (HST) Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, USA.
pubmed:publicationType	Journal Article, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural